Results 151 to 160 of about 274,537 (213)

The X‐Ray Crystal Structure of BorF, the Flavin Reductase Subunit of a Two‐Component Flavin‐Dependent Tryptophan Halogenase

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT BorF is a short‐chain flavin reductase from a desert soil bacterium that uses NADH to reduce FAD to FADH2, which is used by the tryptophan‐6‐halogenase BorH to chlorinate tryptophan in the biosynthetic pathway of borregomycin A. The X‐ray crystal structure of BorF bound to FAD was solved to 2.37 Å by molecular replacement.
Zheng Ma   +3 more
wiley   +1 more source

Most totally real fields do not have universal forms or the Northcott property. [PDF]

open access: yesProc Natl Acad Sci U S A
Daans N   +4 more
europepmc   +1 more source

Relation of Bulk‐to‐Shear Loss Factors in Viscoelastic Auxetic Metamaterials

open access: yesphysica status solidi (b), EarlyView.
This article examines the dynamic behavior of isotropic auxetic viscoelastic materials, highlighting how negative Poisson's ratios affect energy dissipation, damping, and the interplay between bulk and shear moduli. By extending established viscoelastic theories to the auxetic range, it defines bound limits and underscores how dynamic Poisson's ratio ...
Simon Preston   +2 more
wiley   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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